mirror of
https://github.com/sprockets/sprockets.mixins.metrics.git
synced 2024-11-25 19:29:52 +00:00
120 lines
3.8 KiB
Python
120 lines
3.8 KiB
Python
import logging
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import re
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import socket
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from tornado import iostream, locks, tcpserver, testing
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LOGGER = logging.getLogger(__name__)
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class FakeStatsdServer(tcpserver.TCPServer):
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"""
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Implements something resembling a statsd server.
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:param tornado.ioloop.IOLoop iol: the loop to attach to
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:param str protocol: The StatsD protocol. May be either ``udp`` or ``tcp``.
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Create an instance of this class in your asynchronous test case
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attached to the IOLoop and configure your application to send
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metrics to it. The received datagrams are available in the
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``datagrams`` attribute for validation in your tests.
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.. attribute:: sockaddr
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The socket address that the server is listening on. This is
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a tuple returned from :meth:`socket.socket.getsockname`.
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.. attribute:: datagrams
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A list of datagrams that have been received by the server.
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"""
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TCP_PATTERN = br'(?P<path>[^:]*):(?P<value>[^|]*)\|(?P<type>.*)\n$'
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def __init__(self, iol, protocol='udp'):
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self.datagrams = []
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if protocol == 'tcp':
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self.tcp_server()
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elif protocol == 'udp':
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self.udp_server(iol)
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else:
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raise ValueError('Invalid protocol: {}'.format(protocol))
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def tcp_server(self):
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self.event = locks.Event()
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super().__init__()
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sock, port = testing.bind_unused_port()
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self.add_socket(sock)
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self.sockaddr = sock.getsockname()
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def udp_server(self, iol):
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self.socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM,
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socket.IPPROTO_UDP)
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self.socket.bind(('127.0.0.1', 0))
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self.sockaddr = self.socket.getsockname()
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iol.add_handler(self.socket, self._handle_events, iol.READ)
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self._iol = iol
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def close(self):
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if self.socket is not None:
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if self._iol is not None:
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self._iol.remove_handler(self.socket)
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self._iol = None
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self.socket.close()
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self.socket = None
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async def handle_stream(self, stream, address):
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while True:
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try:
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result = await stream.read_until_regex(self.TCP_PATTERN)
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except iostream.StreamClosedError:
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break
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else:
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self.event.set()
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self.datagrams.append(result)
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if b'reconnect' in result:
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self.reconnect_receive = True
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stream.close()
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return
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def _handle_events(self, fd, events):
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if fd != self.socket:
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return
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if self._iol is None:
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raise RuntimeError
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if events & self._iol.READ:
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data, _ = self.socket.recvfrom(4096)
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self.datagrams.append(data)
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def find_metrics(self, prefix, metric_type):
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"""
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Yields captured datagrams that start with `prefix`.
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:param str prefix: the metric prefix to search for
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:param str metric_type: the statsd metric type (e.g., 'ms', 'c')
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:returns: yields (path, value, metric_type) tuples for each
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captured metric that matches
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:raises AssertionError: if no metrics match.
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"""
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pattern = re.compile(
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'(?P<path>{}[^:]*):(?P<value>[^|]*)\\|(?P<type>{})'.format(
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re.escape(prefix), re.escape(metric_type)))
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matched = False
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for datagram in self.datagrams:
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text_msg = datagram.decode('ascii')
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match = pattern.match(text_msg)
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if match:
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yield match.groups()
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matched = True
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if not matched:
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raise AssertionError(
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'Expected metric starting with "{}" in {!r}'.format(
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prefix, self.datagrams))
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